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Product Management
Product Management
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Maven

Advanced AI Product Management & Leadership Certification

  • up to 12 days
  • Advanced
  • Cohort-based

The Advanced AI Product Management & Leadership Certification by Dr. Marily Nika is designed for experienced professionals aiming to deepen their knowledge in AI/ML and lead AI product teams. This course offers hands-on experience through case studies and practical exercises, equipping you with the skills to integrate AI into your product strategy and navigate ethical and regulatory issues.

  • AI Product Management
  • Strategic Decision Making
  • AI/ML Technologies
  • Ethical AI Considerations
  • AI Product Strategy

Overview

In this course, you will learn how to run teams that integrate AI into your product strategy, work with engineering and ML Ops teams, and navigate the ethical and regulatory issues surrounding AI. The course provides hands-on experience through case studies and practical exercises, simulating real-world scenarios. You will also gain insights from guest speakers who are industry leaders in AI.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Full-time
    course format
  • Live classes
    delivered online

Who is this course for?

Senior Product Leaders

Senior Product Leaders looking to transition to AI/ML within their own organization or in Big Tech / a smaller startup.

Senior Engineers

Senior Engineers looking to Pivot to AI/ML Product Management that need help on how to position themselves.

C-level Professionals

C-level professionals that are staffing AI Product orgs and want to learn how to make strategic tradeoffs and foster an AI-first culture.

Why should you take this course?

Product Management

Dr. Marily Nika

Gen AI PM Lead

This course equips experienced professionals with the skills to lead AI product teams, make strategic tradeoffs, and navigate ethical and regulatory issues. It covers the latest AI technologies and provides hands-on experience through case studies and practical exercises.

Pre-Requisites

1 / 3

  • Experience in product management or engineering

  • Basic understanding of AI/ML concepts

  • Interest in leading AI product teams

What will you learn?

Week 1 Module 1 - AI / ML Ecosystem
Intro to transformers, LLMs, Gen Media and Tool demos.
Week 1 Module 2 - Your AI Product org in the making
Let's talk about the organization you are/will be leading and how to staff it with the right competencies and mindsets.
Week 2 Module 2 - Algorithms & Applications
AI application map, frameworks for decision making.
Week 2 Module 4 - ML/LLM In the making
This module is optional because it contains a deeper technical dive than a typical AI PM would need for their day to day, however we find value in the learnings of our Sr ML Scientist from Amazon Alexa around LLM Evaluation, Metrics and Benchmarks / Tools.
Week 3 Module 1 - MLOps
Definitions, AI Development Lifecycle, Key stages of MLOps, MLOps Pipeline deep dive.
Week 3 Module 2 - LLMOps
With OpenAI as a Case Study.
Week 3 Module 3 - Architecture & Infrastructure
Infrastructure - ChatGPT Case Study.
[Optional] Homework
Homework provided in case you want to play around with some of the content discussed.

What learners say about this course

  • “Loved the course. The only thing is that I need to go over all the materials again to consume all the information better.”

    Victoria

    StrategisFlexion

  • “Great insights”

    ANURAG

    NANA

  • “Superb course”

    Claudio

    Business intelligence & Advanced Analytics, Unicredit

Meet your instructor

  • Dr. Marily Nika

    AI Product Bootcamp, Maven

    Dr. Marily Nika is an award-winning AI Product Management leader, educator, and founder of the world-class AI Product Bootcamp at Maven. With a decade-long background in big tech, a PhD in CS, and experience leading top product courses, Dr. Nika empowers aspiring professionals with comprehensive training on AI and product management.

Upcoming cohorts

  • Dates

    Nov 18 — Nov 27, 2025

  • Dates

    Nov 25 — Dec 5, 2025

  • Dates

    Jan 27 — Feb 7, 2026

$749